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Source Code Analytics With Roslyn and JavaScript Data Visualization

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Source Code Analytics With Roslyn and JavaScript Data Visualization/ by Sudipta Mukherjee.
作者:	Mukherjee, Sudipta.
面頁冊數:	XXI, 170 p. 129 illus., 122 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer programming. -
電子資源:	https://doi.org/10.1007/978-1-4842-1925-6
ISBN:	9781484219256

Source Code Analytics With Roslyn and JavaScript Data Visualization
Mukherjee, Sudipta.

Source Code Analytics With Roslyn and JavaScript Data Visualization[electronic resource] /by Sudipta Mukherjee. - 1st ed. 2016. - XXI, 170 p. 129 illus., 122 illus. in color.online resource.

Chapter 1 Meet Roslyn Syntax -- Chapter 2 Code Quality Metrics -- Chapter 3 Design Quality Metrics -- Chapter 4 Code Performance Metrics -- Chapter 5 Code Mining -- Chapter 6 Code Forensics -- Chapter 7 Code Visualization.

Learn how to build an interactive source code analytics system using Roslyn and JavaScript. This concise 150 page book will help you create and use practical code analysis tools utilizing the new features of Microsoft’s Roslyn compiler to understand the health of your code and identify parts of the code for refactoring. Source code is one of the biggest assets of a software company. However if not maintained well, it can become a big liability. As source code becomes larger. more complex and accessed via the cloud, maintaining code quality becomes even more challenging. The author provides straightforward tools and advice on how to manage code quality in this new environment. Roslyn exposes a set of APIs which allow developers to parse their C# and VB.NET code and drastically lower the barrier to entry for Meta programming in .NET. Roslyn has a dedicated set of APIs for creating custom refactoring for integrating with Visual Studio. This title will show readers how to use Roslyn along with industry standard JavaScript visualization APIs like HighCharts, D3.js etc to create a scalable and highly responsive source code analytics system. .

ISBN: 9781484219256

Standard No.: 10.1007/978-1-4842-1925-6doiSubjects--Topical Terms:

527822
Computer programming.

LC Class. No.: QA76.6-76.66

Dewey Class. No.: 005.11

Source Code Analytics With Roslyn and JavaScript Data Visualization
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